Citi Luca, Carpaneto Jacopo, Yoshida Ken, Hoffmann Klaus-Peter, Koch Klaus Peter, Dario Paolo, Micera Silvestro
ARTS and CRIM Labs, Scuola Superiore Sant'Anna, Pisa, Italy.
J Neurosci Methods. 2008 Jul 30;172(2):294-302. doi: 10.1016/j.jneumeth.2008.04.025. Epub 2008 May 3.
Among the possible interfaces with the peripheral nervous system (PNS), intraneural electrodes represent an interesting solution for their potential advantages such as the possibility of extracting spikes from electroneurographic (ENG) signals. Their use could increase the precision and the amount of information which can be detected with respect to other processing methods. In this study, in order to verify this assumption, thin-film longitudinal intrafascicular electrodes (tfLIFE) were implanted in the sciatic nerve of rabbits. Various sensory stimuli were applied to the hind limb of the animal and the elicited ENG signals were recorded using the tfLIFEs. These signals were processed to determine whether the different types of information can be decoded. Signals were wavelet denoised and spike sorted. Support vector machines were trained to use the spike waveforms found to infer the stimulus applied to the rabbit. This approach was also compared with previously used ENG-processing methods. The results indicate that the combination of wavelet denoising and spike sorting techniques can increase the amount of information extractable from ENG signals recorded with intraneural electrodes. This strategy could allow the development of more effective closed-loop neuroprostheses and hybrid bionic systems connecting the human nervous system with artificial devices.
在与周围神经系统（PNS）的可能接口中，神经内电极因其潜在优势，如从神经电图（ENG）信号中提取尖峰的可能性，而成为一种有趣的解决方案。与其他处理方法相比，其应用可以提高检测的精度和信息量。在本研究中，为了验证这一假设，将薄膜纵向束内电极（tfLIFE）植入兔的坐骨神经。对动物的后肢施加各种感觉刺激，并使用tfLIFE记录诱发的ENG信号。对这些信号进行处理，以确定是否可以解码不同类型的信息。对信号进行小波去噪和尖峰分类。训练支持向量机使用发现的尖峰波形来推断施加给兔子的刺激。该方法还与先前使用的ENG处理方法进行了比较。结果表明，小波去噪和尖峰分类技术的结合可以增加从神经内电极记录的ENG信号中可提取的信息量。这种策略可能有助于开发更有效的闭环神经假体以及将人类神经系统与人工装置连接起来的混合仿生系统。
